Koopman Operator-Based Identification is a system identification method that formulates the estimation of nonlinear dynamical systems by lifting the original state space into a higher-dimensional functional space where the dynamics are approximated as linear through the spectral decomposition of the Koopman operator.
112
Publications
12.8K
Citations
258
Authors
142
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Publications per year
2017–2026
87
Variants
Koopman Operator Identification
Parents
Publications
112
On dynamic mode decomposition: Theory and applications
Journal of Computational Dynamics · 2014 · 1.4K citations · Full text
1–5 of 112
Authors
258
- IM
13
h-index
- YS
8
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- SL
6
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- JNJ. Nathan Kutz
University of Washington Applied Physics Laboratory, United States
5 publications · 2.4K citations
5
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- JL
4
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1–5 of 258
Institutions
142
University of California, Santa Barbara
Santa Barbara, United States
13 h-index
30 publications
4.5K citations
University of Washington
Seattle, United States
9 h-index
16 publications
5.4K citations
Kyoto University
Kyoto, Japan
6 h-index
14 publications
834 citations
University of Washington Applied Physics Laboratory
Seattle, United States
6 h-index
9 publications
5.2K citations
Institute for Disease Modeling
Bellevue, United States
4 h-index
4 publications
1.1K citations
Bellevue Hospital Center
New York, United States
4 h-index
4 publications
1.1K citations
Qom University of Technology
Qom, Iran
3 h-index
7 publications
175 citations
Princeton University
Princeton, United States
3 h-index
7 publications
7.9K citations
1–8 of 142
Venues
- Automatica
5 publications · 1.4K citations
5
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- arXiv (Cornell University)
Repository · 4 publications · 173 citations
4
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- Journal of Nonlinear Science
4 publications · 2.2K citations
4
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- Chaos An Interdisciplinary Journal of Nonlinear Science
3 publications · 65 citations
3
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- Journal of Computational Physics
3 publications · 68 citations
3
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